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A note on the determinants of long-run aggregate state productivity growth
被引:0
|作者:
Atems, Bebonchu
[1
]
机构:
[1] Clarkson Univ, Sch Business, Potsdam, NY 13699 USA
关键词:
data envelopment analysis (DEA);
productivity;
pooled mean group (PMG);
EFFICIENCY;
D O I:
10.1080/13504851.2015.1026573
中图分类号:
F [经济];
学科分类号:
02 ;
摘要:
We use data envelopment analysis to estimate state-level productivity and then use the pooled mean group approach to investigate its long-run determinants. Results indicate that human capital, infrastructure, energy shocks, a diverse mix of industries and states with large urban populations are associated with higher long-run aggregate state productivity growth, while unionisation has no long-run effects.
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页码:1287 / 1292
页数:6
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